Chap 5 & 11 - Stratégie de PF: Titres de Participants Flashcards
what are the 3 assumptions from an efficient market ?
An important premise of an efficient market requires a large number of independent profitmaximizing participants who analyze and value securities. A second assumption is that new information regarding securities comes to the market in a random fashion, and the timing of one announcement is generally independent of others. The third assumption is especially crucial: The buy and sell decisions of all those profitmaximizing investors cause security prices to adjust rapidly to reflect the effect of new information.
The combined effect of (1) information coming in a random, independent, unpredictable fashion and (2) numerous competing investors adjusting stock prices rapidly to reflect this new information means that prices should be independent and random. This scenario implies that informationally efficient markets require some minimum amount of trading and that more trading by numerous competing investors should cause a faster price adjustment, making the market more efficient.
What is the random walk hypothesis ?
Most of the early work related to efficient capital markets was based on the random walk hypothesis, which contended that changes in stock prices occurred randomly.
In his original article, Fama (1970) divided the overall efficient market hypothesis (EMH) and the empirical tests into three subhypotheses depending on the information set involved: (1) weak-form EMH, (2) semistrong-form EMH, and (3) strong-form EMH.
What is the weak-form EMH ?
The weak-form EMH assumes that current stock prices fully reflect all security market information, including the historical sequence of prices, rates of return, trading volume data, and other market-generated information, such as odd-lot transactions and transactions by market-makers. this hypothesis implies that past rates of return and other historical market data should have no relationship with future rates of return (that is, rates of return should be independent). Therefore, this hypothesis contends that you should gain little from using any trading rule which indicates that you should buy or sell a security based on past rates of return or any other past security market data.
What is the semistrong-form EMH ?
The semistrong-form EMH asserts that security prices adjust rapidly to the release of all public information; that is, current security prices fully reflect all public information. The semistrong hypothesis encompasses the weak-form hypothesis, because all the market information considered by the weak-form hypothesis, such as stock prices, rates of return, and trading volume, is public. This hypothesis implies that investors
who base their decisions on any important new information after it is public should not derive above-average risk-adjusted profits from their transactions, considering the cost of trading.
What is the stong-form EMH ?
The strong-form EMH contends that stock prices fully reflect all information from public and private sources. This hypothesis assumes that no group of investors has monopolistic access to information relevant to the formation of prices, which implies that no group of investors should be able to consistently derive above-average risk-adjusted rates of return. It emcompasses other 2 hypothesis and extends the assumption of efficient markets to assume perfect markets, in which all information is cost-free and available to everyone at the same tim
What are the 2 tests for weak-from hypthesis ?
1- Statistical tests of independence between rates of return :
a) Autocorrelation tests of independence measure the significance of positive or negative correlation in returns over time. Does the rate of return on day t correlate with the rate of return on day t 1, t 2, or t 3?
b) Runs test. Given a series of price changes, each price change is either designated a plus ( ) if it is an increase in price or a minus ( ) if it is a decrease in price. A run occurs when two consecutive changes are the same; two or more consecutive positive or negative price changes constitute one run. When the price changes in a different direction (for example, when a negative price change is followed by a positive price
change), the run ends, and a new run may begin. To test for independence, you would compare the number of runs for a given series to the number in a table of expected values for the number of runs that should occur in a random series.
2- Test of tradings rules, compares risk–return results for trading rules that make investment decisions based on past market information relative to the results from a simple buy-and-hold policy, which assumes that you buy stock at the beginning of a test period and hold it to the end :
a) Evidence from simulations of specific trading rules indicates that most trading rules tested have not been able to beat a buy-and-hold policy. Therefore, the early test results generally support the weak-form EMH, but the results are clearly not unanimous, especially if one considers the current substantially lower commissions.
When the pre-2000 trading costs were considered, all the trading profits
turned to losses. It is possible that using recent lower trading costs (post-2011), the results could be different. Alternatively, trading using larger filters did not yield returns above those of a simple buy-and-hold policy.
The trading-rule studies compared the risk–return results derived from trading-rule simulations, including transaction costs, to the results from a simple buy-and-hold policy. Three major pitfalls can negate the results of a trading-rule study:
- The investigator should use only publicly available data when implementing the trading rule. As an example, the trading activities of some set of traders/investors for some period ending December 31 may not be publicly available until February 1. Therefore, you should not factor in information about the trading activity until the information is public.
- When computing the returns from a trading rule, you should include all transaction costs involved in implementing the trading strategy because trading rules generally involve many more transactions than a simple buy-and-hold policy.
- You must adjust the results for risk because a trading rule might simply select a portfolio of high-risk securities that should experience higher returns.
Recall that markets should be more efficient when there are numerous investors attempting to adjust stock prices to reflect new information, so market efficiency will be related to trading volume. Alternatively, for securities with relatively few stockholders and limited trading activity, the market could be inefficient simply because fewer investors would be analyzing the effect of any new information. Therefore, using only active, heavily traded stocks when testing a trading rule could bias the results toward finding efficiency.
What are the 2 tests for semistrong-from hypthesis ?
Advocates of the EMH contend that it would not be possible to predict future returns using past returns and dvocates of the EMH would expect security prices to adjust rapidly, such that it would not be possible for investors to experience superior risk-adjusted returns by investing after the public announcement and paying normal transaction costs.
1- Return prediction studies : Studies to predict future rates of return using available public information beyond pure market information considered in the weak-form tests. These studies can involve either time-series analysis of returns or the cross-section distribution of returns for individual stocks. Ex: Is it possible to predict abnormal returns over time for the market based on public information such as changes in the aggregate dividend yield or the risk premium spread for bonds?
2- Event studies that examine how fast stock prices adjust to specific significant economic events. These studies test whether it is possible to invest in a security after the public announcement of a significant event (for example, earnings, stock splits, major economic events) and whether they can experience significant abnormal rates of return.
What is the theory behind the abnormal rate of return ?
For any test, we have to consider the markets return during the study. If the market had experienced a 10 percent return during an announcement period, the 5 percent return for the stock may be lower than expected.
ARit = Rit - Rmt
where:
ARit is the abnormal rate of return on security i during period t
Rit is the rate of return on security i during period t
Rmt is the rate of return on a market index during period t
What is the abormal rate of return of a stock taking into account beta ?
ARit = Rit - E(Rit)
where:
ARit is the abnormal rate of return on security i during period t
Rit is the rate of return on security i during period t
E(Rit) is the expected rate of return for stock i during period t based on the market rate of return and the stock’s normal relationship with the market (its beta)
What should the market expect for abormal returns of a stock ?
Over the normal long-run period, you would expect the abnormal returns for a stock to sum to zero. Specifically, during one period the returns may exceed expectations and the next perod they may fall short of expectations.
When the two most significant variables—the dividend yield (D/P) and the bond default spread—are high, it implies that investors are requiring a high return on stocks and bonds. In contrast, when dividend yields and yield spreads are small, it implies that investors have reduced their risk premium, required rates of return, and the prices of assets increase; therefore, future returns will be below normal. The studies that support this expectation provide evidence against the EMH because they indicate you can use public information on dividend yields and yield spreads to predict future abnormal returns.
Several studies have considered two variables related to interest rates: (1) a
default spread, which is the difference between the yields on lower-grade and Aaa-rated long-term corporate bonds (this spread has been used in earlier chapters of this book as a proxy for a market risk premium), and (2) the term structure spread, which is the difference between the long-term Treasury bond yield and the yield on one-month Treasury bills. These variables have been used to predict stock returns and bond returns.
What is time-series analysis ?
The time-series analysis assumes that in an efficient market the best estimate of future rates of return will be the long-run historical rates of return. Will public information will provide superior estimates of returns for a short-run horizon (one to six months) or a long-run horizon (one to five years).
What is an earnings surprise ?
Indicated that there were abnormal stock returns during the 13 or
26 weeks following the announcement of a large unanticipated earnings change—referred to as an earnings surprise. These results indicate that an earnings surprise is not instantaneously reflected in security prices.
Jones, Rendleman, and Latané (1985): 31 percent of the total response in stock returns came before the earnings announcement, 18 percent on the day of the announcement, and 51 percent after the announcement.
These results indicate that the market does not adjust stock prices to reflect the
release of quarterly earnings surprises as fast as expected by the semistrong EMH, implying that earnings surprises and earnings revisions can be used to predict returns.
What is The January Anomaly ?
Branch (1977) and Branch and Chang (1985) proposed a unique trading rule for those interested in taking advantage of tax selling. Investors (including institutions) tend to engage in tax selling toward the end of the year to establish losses on stocks that
have declined. After the new year, the tendency is to reacquire these stocks or to buy similar stocks that look attractive. Such a scenario would produce downward pressure on stock prices in late November and December and positive pressure in early January.
Risk-adjusted performance measures indicated that low P/E ratio stocks experienced superior risk-adjusted results relative to the market, whereas high P/E ratio stocks had significantly inferior risk-adjusted results. 5 These results are inconsistent with semistrong efficiency. Peavy and Goodman (1983) examined P/E ratios with adjustments for firm size, industry effects, and infrequent trading and likewise found that the risk-adjusted returns for stocks in the lowest P/E ratio quintile were superior to those in the highest P/E ratio quintile.
Assuming an efficient market, all securities should have equal risk-adjusted returns because security prices should reflect all public information that would influence the security’s risk.
What is the size effect and the the small-firm effect ?
Banz (1981) examined the impact of size (measured by total market value)
on the risk-adjusted rates of return. The risk-adjusted returns for extended periods (20 to 35 years) indicated that the small firms consistently experienced significantly larger risk-adjusted returns than the larger firms. Reinganum (1981) contended that it was the size, not the P/E ratio, that caused the results discussed in the prior subsection, but this contention was disputed by Basu (1983). It was suggested that
small firm risk was improperly measured because small firms are traded less frequently.
A study by Stoll and Whaley (1983) that examined the impact of transaction costs confirmed the size effect but also found that firms with small market value generally have low stock prices. Because transaction costs vary inversely with price per share, these costs must be considered when examining the small-firm effect.
In summary, small firms outperformed large firms after considering higher risk and realistic transaction costs (assuming annual rebalancing).
Arbel and Strebel (1983) considered an additional influence beyond size: attention or neglect. They measured attention in terms of the number of analysts who regularly follow a stock and divided the stocks into three groups: (1) highly followed, (2) moderately followed, and (3) neglected. They confirmed the small-firm effect but also found a neglected-firm effect caused by the lack of information and limited institutional interest.
Beard and Sias (1997), who found no evidence of a neglected firm premium after controlling for capitalization.
Studies that have used publicly available ratios to predict the cross section of
expected returns for stocks have provided substantial evidence in conflict with the semistrong-form EMH. Significant results were found for P/E ratios, market value size, and BV/MV ratios. Although the research by Fama and French indicated that the optimal combination appears to be size and the BV/MV ratio, a study by Jensen, Johnson, and Mercer (1997) indicated that this combination only works during periods of expansive monetary policy.